Ducheng Jin

SACNet: A Scattered Attention-Based Network With Feature Compensator for Visual Localization

Visual localization, an integral component of a vast array of computer applications, has been effectively resolved by scene coordinate regression (SCoRe) methods. However, due to the limited receptive field of convolutional neural networks (CNNs), current SCoRe methods have difficulty in distinguish